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OnTrac
OnTrac
5 001 – 10 000 Xodimlar
Elektron tijoratLogistikaTransport
OnTrac is a U.S. parcel carrier focused on e-commerce and residential delivery. Its regional network offers seven-day ground shipping, including OnTrac Ground and Ground Essentials, with an OnTrac Express coast-to-coast service planned for two-to-three-day delivery. The company also handles custom business logistics, including time-critical healthcare, pharmaceutical, and aircraft repair shipments. Through its FasTrac partner program, OnTrac works with independent drivers and regional service providers. Its services are designed for retailers and direct-to-consumer brands seeking faster ground delivery options.
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Kompaniyadagi ish o‘rinlari

Senior Enterprise Architect, AI and GCP — OnTrac (Remote, US)

Shape OnTrac’s AI-powered Google Cloud platform for same-day and next-day delivery across the United States. Lead architecture for agentic AI, data systems, and integrations that support logistics operations.

USAmerika Qo‘shma Shtatlari
156 000 $ – 195 000 $ / yil
MasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaIT yordami
AzureBigQueryBulutETLGoogle Cloud PlatformgRPCKafkaKubernetesMikroservislarReactTerraform

Tavsif

  • Own the target architecture for OnTrac’s AI-powered logistics platform on Google Cloud.
  • Build agentic and multi-agent systems, covering orchestration, planning, tool use, memory and state, human oversight, and agent-to-agent communication.
  • Create an MCP server ecosystem that gives AI agents governed, reusable access to logistics services and enterprise data.
  • Design AI-ready data platforms with batch and streaming pipelines, lakehouse and warehouse architectures, feature stores, and vector stores.
  • Establish a shared data model and event taxonomy for orders, shipments, scans, locations, containers, and drivers.
  • Set API and integration architecture using API-first practices, REST, gRPC, asynchronous APIs, OpenAPI, AsyncAPI, Apigee, Pub/Sub, and Kafka.
  • Apply and document distributed systems and AI patterns, including microservices, domain-driven design, event sourcing, CQRS, sagas, ReAct, planner-executor, supervisor/router agents, and advanced RAG.
  • Develop proofs of concept, prototypes, and reference implementations, and write production-quality code alongside engineering teams.
  • Apply AI to order intake, address validation and geocoding, route optimization, delivery promises and ETA predictions, exception handling, control tower operations, driver and dispatch support, and conversational customer experiences.
  • Lead architecture and design reviews, write architecture decision records, contribute to governance and technology choices, and mentor engineers.
  • Report to the CTO and work with platform, core, and domain engineering teams.

Talablar

  • Bachelor’s degree or equivalent.
  • At least 10 years of relevant experience in software engineering, data engineering, or solution architecture.
  • At least 7 years working in an architecture role.
  • At least 2 years delivering generative AI or LLM solutions hands-on.
  • At least 3 years designing, building, and operating production solutions on Google Cloud Platform (GCP).
  • At least 3 years in last-mile delivery, parcel, or logistics, supporting operational technology such as route planning, sortation, scanning, tracking, or driver and dispatch systems.
  • Experience designing and implementing enterprise API management and integration platforms such as Apigee, MuleSoft, Kong, or Azure API Management.
  • Extensive hands-on agentic AI expertise, including Google ADK, LangGraph, CrewAI, multi-agent orchestration, tool and function calling, agent memory, Model Context Protocol (MCP), and agent-to-agent (A2A) protocols.
  • Expertise in GCP architecture and AI/data services, including Vertex AI, Gemini, Vertex AI Vector Search, BigQuery, Dataflow, Pub/Sub, GKE, Cloud Run, and Apigee.
  • Expertise in data engineering for AI, including data modeling, batch and stream processing, ETL/ELT, CDC, lakehouse design, feature and vector stores, data quality, and governance.
  • Strong API management and integration knowledge, including API design standards, gateways, OAuth 2.0, OIDC, Kafka, and Pub/Sub.
  • Strong DevOps, MLOps, and LLMOps skills, including Terraform, CI/CD tools, Kubernetes, model and prompt versioning, automated evaluation, and LLM observability tools.
  • Understanding of last-mile delivery and parcel logistics, including parcel lifecycle, scan events, network planning, routing, geospatial data, and driver and carrier operations.
  • Ability to combine hands-on engineering with architectural leadership and manage priorities across multiple initiatives.
  • Google Cloud Professional certifications and experience establishing an AI center of excellence, agent platform, or reference architectures are preferred.

Imtiyozlar

  • Medical, dental, and vision insurance.
  • Life insurance and short- and long-term disability coverage.
  • 401(k) retirement savings plan with company match.
  • Flex vacation outside California, Colorado, Illinois, Massachusetts, Montana, and Nebraska; accruals are up to 96 hours in the first year and increase with tenure to a maximum of 160 hours.
  • Two floating holidays each year.
  • Paid sick leave.
  • Six paid company holidays.
  • Two weeks of paid pregnancy disability leave.
  • Four weeks of paid parental bonding leave.
  • Wellness programs and employee assistance services.
  • Bonus, commission, or other incentive compensation with a target of up to 25%.

O‘xshash ish o‘rinlari

Koniag Government Services

Remote Tier II Technical Support Specialist

Koniag Government Services
1 001 – 5 000 Xodimlar
HukumatKonsaltingMudofaa
USAmerika Qo‘shma ShtatlariMasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaIT yordami
OracleSQL

Resolve escalated hardware, software, network, and system problems through advanced troubleshooting and clear documentation. Support Koniag Government Services’ federal technology work, collaborating with IT teams and guiding Tier I staff.

Ochish
GE Vernova

Remote Enterprise Architect, GE Vernova

GE Vernova
Ishlab chiqarishKonsaltingLogistika
USAmerika Qo‘shma Shtatlari
127 600 $ – 212 600 $ / yil
MasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaIT yordami
ApacheAWSAzureBulutGoogle Cloud PlatformKiberxavfsizlikKubernetesPythonSQL

Guide utility customers through digital transformation and GridOS Data Fabric engagements at GE Vernova. Shape enterprise architecture, data strategy, and implementation roadmaps.

Ochish